Flipboard

MARCH 18, 2025

Given that AGI is what AI developers all claim to be their end game , it's safe to say that scaling is widely seen as a dead end. But this approach is "unlikely to be a silver bullet," Arvind Narayanan, a computer scientist at Princeton University, told NewScientist.

AI Research 181

AI Research AI Researcher Computer Scientist Neural Network 181

Towards AI

APRIL 5, 2023

Last Updated on April 6, 2023 by Editorial Team Author(s): LucianoSphere Originally published on Towards AI. Hinton, a British-Canadian computer scientist and cognitive psychologist, is considered… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter.

Computer Scientist 98

Computer Scientist Natural Language Processing AI Development AI Developer 98

AI Impacts

DECEMBER 18, 2023

Korotkiy ) 1951-present: Computer scientists consider whether a sufficiently powerful misaligned AI system will escape containment and end life on Earth. Foundational computer scientist Alan Turing in 1951. The message will arrive at its destination in 2029. Photo by S.

Computer Scientist 299

Computer Scientist AI AI AI Research 299

IBM Journey to AI blog

SEPTEMBER 30, 2024

But quantum computing’s impact on achieving true superintelligence remains uncertain. “If you get a room of six computer scientists and ask them what superintelligence means, you’ll get 12 different answers,” Smolinski says.

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Artificial Intelligence Artificial Intelligence Computer Scientist AI 227

Unite.AI

MAY 30, 2023

Yann LeCun, NYU Professor and AI researcher at Meta, famously expressed his exasperation with these ‘doomsday prophecies'. Critics argue that such catastrophic predictions detract from existing AI issues, such as system bias and ethical considerations. He highlighted the need to focus on immediate AI-related harms.

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Computer Scientist AI AI Artificial Intelligence 167

Marktechpost

SEPTEMBER 16, 2023

This means recognizing how social and historical factors influence data collection and clinical AI development. Computer scientists may not fully grasp the social and historical aspects behind the data they use, so collaboration is essential to make AI models work well for all groups in healthcare.

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Machine Learning Computer Scientist Algorithm AI Researcher 103

IBM Journey to AI blog

APRIL 18, 2024

The skills gap in gen AI development is a significant hurdle. Startups offering tools that simplify in-house gen AI development will likely see faster adoption due to the difficulty of acquiring the right talent within enterprises. These use areas are sure to evolve as AI technology progresses.

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